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The Director’s Chair: Orchestrating AI for Trul...

The Director’s Chair: Orchestrating AI for Truly Effective Learning

In a world racing to “do more with AI,” speed often outpaces direction. In this fast-paced, story-driven session, Mike Taylor shows how to step into the director’s chair—using AI not to replace human creativity, but to amplify it. You’ll learn how to combine marketing-inspired storytelling, emotional design, and smart prompting to turn AI from a content factory into a true creative partner.

You’ll learn how to:

🎯 Direct AI with purpose—give it context, constraints, and clarity so it creates meaningful learning, not just more of it.

💡 Blend human empathy with machine efficiency—keeping people (not prompts) at the heart of great design.

🧭 Apply a practical 3-phase framework to make your AI-assisted projects faster, more authentic, and more impactful.

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Want to stay connected?

🎬 Visit https://mike-taylor.org for resources and tools.

💬 Connect with me on LinkedIn to swap ideas. https://linkedin.com/in/miketaylor

📘 Check out my book, Think Like a Marketer, Train Like an L&D Pro —a guide to bringing a marketer’s mindset into modern learning design.

https://www.amazon.com/Think-Like-Marketer-Train-Pro/dp/1960231197/

Because in the age of AI, it’s not about working faster—it’s about directing smarter.

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Mike Taylor

October 28, 2025
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Transcript

  1. “The biggest risk is that AI just makes us more

    effective at doing something that's deeply ineffective.” Philippa Hardman
  2. trainlikeamarketer.com “When dealing with people, remember you are not dealing

    with creatures of logic, but with creatures of emotion.” Dale Carnegie Writer and Teacher
  3. Pre- Production • What does success look like? • What

    context does AI need? • What's non- negotiable?
  4. Pre- Production • What does success look like? • What

    context does AI need? • What's non- negotiable? Production • Give context, not just commands • Set constraints • Define your role (and AI's role) • Describe success criteria
  5. Pre- Production • What does success look like? • What

    context does AI need? • What's non- negotiable? Production • Give context, not just commands • Set constraints • Define your role (and AI's role) • Describe success criteria Post- Production • Does it connect emotionally? • Does it reflect authentic context? • What would we never say?
  6. Role Play with a partner: • Use the SBI Model

    (Situation– Behavior–Impact) • Keep it specific, respectful, and focused on growth. • Focus on behavior, not personality Debrief as a group: • What worked well? • What could be improved? • How can you apply this in your real feedback conversations? Undirected Output One of your employees, Alex, delivered a client project three days late. Alex is creative and dedicated but often underestimates timelines and delays communication. Give feedback that helps Alex improve without losing motivation.
  7. Directed Output Company Context • Family-owned for 50+ years •

    Long-tenured, strong sense of loyalty • Relationship-oriented, “family” feel • Challenge: Low accountability and discomfort with tough conversations Learning Goals • Balance relationships and results • Build confidence in giving feedback and holding others accountable • Transition from peer to leader • Strengthen trust via fairness and consistency Key Learning Themes • Care and Clarity – Be kind & clear • Trust Through Accountability – Consistency builds credibility • Communicate Expectations – Define success clearly • From “Family” to “Team” Design Approach • Interactive workshops using real plant scenarios • Role-play: feedback with longtime coworkers • Peer coaching for practice • Manager toolkit: • Leader stories: of care/accountability
  8. trainlikeamarketer.com ‟success…will depend as much on the emotions of humans

    as it will on the effectiveness of AI technology.” Philippa Hardman
  9. Take your seat AI isn’t the star — it’s your

    crew. YOU are what makes learning that matters